YOLOv4: Optimal Speed and Accuracy of Object Detection

23 Apr 2020Alexey BochkovskiyChien-Yao WangHong-Yuan Mark Liao

There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of combinations of such features on large datasets, and theoretical justification of the result, is required... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Real-Time Object Detection COCO YOLOv4-608 MAP 43.5 # 5
FPS 62 # 2
Real-Time Object Detection COCO YOLOv4-512 MAP 43 # 6
FPS 83 # 1
Object Detection COCO test-dev YOLOv4-608 box AP 43.5 # 32
AP50 65.7 # 23
AP75 47.3 # 35
APS 26.7 # 31
APM 46.7 # 35
APL 53.3 # 46